Stock long and short buying and selling decision-making system

Abstract

The invention provides a long-short stock trading decision-making system. The system abandons the untimely historical data simulation calculation method, and can quickly integrate and analyze the real-time data of "yesterday's closing" and "today's intraday" of the market and individual stocks in the stock market through the computer, and use the calculation model of the "stock long-short decision system" , constantly track the increase and decrease of individual stocks relative to the stock market volume, the strength of the opening of the day, the real-time strength of the intraday, and the intraday price amplitude, and quickly calculate a long-short decision factor β in the intraday or after the market, according to the value of β When the change reaches a certain set value, the system will send a long-short trading signal to provide investors with the actual needs of long-short trading decision-making signals, and assist users to accurately and quickly grasp the best buying and selling timing points from a huge number of stocks.

Description

technical field [0001] The invention is a stock long-short decision-making system, which can calculate and predict the long-short turning point and buying and selling signals of the market and individual stocks in real time. Background technique [0002] With the rapid development of information technology, people's demand for instant and convenient information acquisition and communication is showing explosive growth. And stock investment has always been the most popular financial management method for the general public. If you can quickly obtain a certain stock's ups and downs from among the many stock information, and provide real-time and accurate information for investors to make buying and selling decisions, it is definitely what ordinary investors are looking forward to. The financial tsunami occurred in 2008-2009, and the global economy declined sharply. In order to save their domestic economies, advanced countries such as Europe and the United States printed a larg...

AI Technical Summary

Problems solved by technology

Generally speaking, although the stock selection system based on various types of fixed investment models is simple and easy to use, it is generally inflexible, and cannot quickly reflect the real price of the stock at that time and the differences in different operating backgrounds. More than 1,300 files, and the number is still rising

If investors research and analyze the stock market by themselves, they need to collect a lot of information, waste a lot of precious time, and lack professional knowledge of various industries, so it is not suitable for ordinary investors who are busy with work and life, and its investment returns are also quite low.

[0004] For example, China Taiwan Patent No. 528970 "stock market long-short analysis system", which provides data including average volume, average price, daily trading volume, daily trading price and other data to evaluate stock trading criteria, but its disadvantage is that a large number of stock market must be Using old historical data to calculate trading criteria will result in slow calculation speed and increasing database maintenance costs

Moreover, the trend of historical data cannot reflect the current industry status and financial situation, so the results of its calculation and analysis are prone to bias and mistakes, making investors make wrong investment decisions

[0005] Therefore, although there are many application technologies related to stock trading or data sorting and analysis, breakthrough technologies such as the concept of stock trading decision signals or stock historical data integration and analysis have not been effectively developed, so that current investors Picking stocks is often wrong and biased, and even mistrusts the "clear card" of the investment advisor, resulting in repeated losses

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